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Please note: The algorithm descriptions in English have been automatically translated. Errors may have been introduced in this process. For the original descriptions, go to the Dutch version of the Algorithm Register.

Anonymise

Ministry of Foreign Affairs

Recognise personal and corporate data in government documents for disclosure.

Last change on 9th of January 2025, at 8:57 (CET) | Publication Standard 1.0
Publication category
Other algorithms
Impact assessment
Field not filled in.
Status
In use

General information

Theme

Organisation and business operations

Begin date

Field not filled in.

Contact information

woo@minbuza.nl

Responsible use

Goal and impact

Support in the review process where legal protection applies to information disclosed by the government. Protection of the grounds for exception set out in the AVG and Woo legislation, such as privacy-sensitive personal and business data.

The algorithm's impact on citizens and businesses is low.

Considerations

Its use improves, speeds up and simplifies the process for disclosure and transparency. Automation makes the process less error-prone than human intervention. A suggestion list brings all conceivable cases of individuals into the text. This reduces the risk of a data breach and better protects the data of citizens and businesses.

Human intervention

The recognition of personal and business data results in a suggestion list that is submitted to the Woo handler. There is then always human intervention. The assessment of whether the suggested term as privacy-sensitive personal or business data is correct and should be adopted is up to the Woo handler.

Risk management

There is no risk of automated decision-making and the algorithm does not impact fundamental rights, but rather provides for their protection. The algorithm does not make decisions with legal consequences, but only suggests anonymising personal data.

Legal basis

Legislation around public access to government data and privacy-sensitive information

Links to legal bases

  • Wet open overheid (Woo): https://wetten.overheid.nl/BWBR0045754/2023-04-01#Hoofdstuk5
  • Uitvoeringswet Algemene Verordening Gegevensbescherming (AVG): https://wetten.overheid.nl/BWBR0040940/2021-07-01/0

Operations

Data

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Links to data sources

Algemene Office applicaties: Dit betreft standaard Office formaten inclusief email.

Technical design

Texts are recognised on the basis of Named Entity Recognition (NER) and a process within Insights extracts the names for further processing towards the management interface and the automatic lacquer rules.

External provider

ZyLAB eDiscovery & Compliance Services B.V.

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